The Staff AI Solution Architect will be responsible for leading the design, development, and support of AI-driven enterprise applications and services that enable data analytics across global functions—including Finance, Treasury, Sourcing, and Enabling Functions. This role entails end-to-end ownership of AI components, encompassing architecture, testing, documentation, and deployment within large-scale data analytics programs. The architect will leverage technologies such as Databricks and AWS to build scalable, standardized AI solutions that deliver measurable value through the Safety, Quality, Delivery, and Cost (SQDC) framework, with a strong emphasis on the impact of AI initiatives on business.
Strategic Collaboration Engage in technical and business discussions to shape the future of AI solution architecture.
Architecture Planning Analyze current and future states to develop implementation roadmaps for AI solutions.
Requirements Gathering Translate business needs into architectural requirements and contribute to infrastructure governance.
Solution Development Partner with service providers to build AI solutions aligned with project goals and enterprise standards.
Compliance & Standardization Ensure AI solutions adhere to architectural frameworks and comply with GDPR, SOX, and Responsible AI guidelines.
Technology Adoption Research emerging AI technologies and trends to enhance solution design, and explore new capabilities in Databricks and AWS.
Performance & Security Oversight Monitor deployed solutions to ensure optimal performance and security compliance.
Solution Ownership Collaborate with cross-functional teams, including Data Architecture and Analytics, to define and execute AI solution roadmaps aligned with business strategy.
Product Roadmap Input Work with product managers and data architects to shape analytics product roadmaps.
Technical Integration Partner with data scientists, engineers, and designers to ensure robust, scalable AI implementations.
Enterprise Coordination Support AI initiatives across Vernova HQ to drive innovation and operational excellence.
Data-Driven Insights Define and track KPIs to measure the success and impact of AI solutions.
Post-Launch Optimization Gather feedback, monitor performance, and iterate on features to enhance value delivery.
Proven experience designing and deploying cloud-based AI solutions.
Strong understanding of aligning AI architecture with business objectives.
Familiarity with automation, DevOps practices, and cloud-native AI tools.
Ability to adapt AI applications to cloud platforms such as AWS.
Working knowledge of Databricks services supporting the AI solution ecosystem.
Excellent collaboration and communication skills, including stakeholder engagement at all levels.
Proactive in identifying risks, resolving issues, and driving continuous improvement.
Open to new ideas and innovative approaches to problem-solving.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Experience with GE or GE Vernova is highly preferred.
Demonstrated leadership in managing cross-functional teams and complex projects.
Strong business acumen with the ability to align technical solutions with strategic goals.
Excellent analytical, problem-solving, and decision-making skills.
Experience in building and scaling AI applications in enterprise environments.
Relocation Assistance Provided: Yes
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world.
It is made up of three businesses -- Power, Wind, and Electrification -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life.
The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come.
GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver.
Together, we have the energy to change the world.
